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Specialist: Big Data and AI Project

  • Vodafone
  • Dar es Salaam, Tanzania
  • TZS 40,000,000 – TZS 60,000,000

Role Purpose & Key Responsibilities

Role purpose:

  • Creating AI systems for product monetization, productivity and customer service excellence.
  • Implementing big data projects and data science initiatives.
  • Delivering actionable insights to support and contribute toward the delivery of business objectives and targets.
  • Contributing to the wider AI community to support and advance Machine Learning capability across Vodafone globally

Key accountabilities and decision ownership

  • Identify, analyse and interpret trends and patterns in complex data sets.
  • Support the extraction of data (ETL) from multiple sources to build domain-oriented lakehouses.
  • Manage E2E go to market execution of big data, AI and special projects initiatives.
  • Implement machine learning models for various areas of the business on MLOPs.

Communicate analytics and ML model use cases and results to business users

Qualifications, Competencies, Knowledge and Experience

  • 2+ years of experience in similar big data and data science role.
  • Degree in quantitative fields like Mathematics, Statistics, Economics, Actuarial science, Computer Science or Engineering, Artificial Intelligence or related fields.
  • Knowledge of customer driven marketing techniques and processes
  • Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design.
  • Expertise in data manipulation: use of structured data tools (e.g., SQL) and unstructured data tools and platforms (e.g., Hadoop, Spark)
  • Project knowledge and experience would be advantageous.
  • Excellent analytical and causal reasoning skills.
  • Excellent communication and presentation skills
  • Strong data management skills
  • Ability to anticipate customer, competitor and market dynamics and propose commercial actions proactively.

Skills

  • Python
  • Machine Learning
  • SQL
  • Apache Spark
  • Hadoop
  • MLOps
  • ETL

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